Machine Learning Scientist II - VRBO Pricing Team
About The Position
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Machine Learning Scientist II - VRBO Pricing Introduction to the team: Travel platform pricing and monetization has critical impacts onâ¯businessâ¯health. The Machine Learning Science team is building a scalable and robust system to enable pricing as a lever to optimize business performance. The system should be steered based on desired outputs, such as a given tradeoff between volume and profit. Our work directly decides prices across different lines of business, influencing multi-billion dollarâ¯revenue. As a Machine Learning Scientist II, you will help to research and build this pricing system.â¯You will work on end-to-end pricing problems. You will collaborate with a strong team of machine learning scientists, data scientists, engineers, product managers, and operation analytics. You will contribute to an area of active scientific research: causal inference using machine learning methods, mixed integer programming, ML-based demand estimation, experiment design with spillovers.
Requirements
- Advanced degree in a quantitative field (Computer Science, Statistics, Operations Research, Economics) or equivalent professional experience.
- Hands-on experience in machine learning, operations research, or causal inference.
- Strong analytical skills for working with complex datasets and generating actionable insights.
- Proficiency in Python or Scala.
- Familiarity with big data ecosystems such as Hadoop or Spark.
- Solid understanding of modern ML and data science techniques and their mathematical foundations.
- Ability to communicate clearly and effectively.
- Pragmatic approach to problem-solving.
Nice To Haves
- Experience in pricing strategies or revenue optimization.
- Background in large-scale marketplace experiment design and analysis.
- Exposure to mixed-integer programming and ML-based demand estimation.
- Knowledge of causal inference methods applied to real-world business problems.
- Experience collaborating in cross-functional teams with engineers, product managers, and analytics professionals.
Responsibilities
- Help to research and implement scalable machine learning and data science solutions end to end with engineering rigor.
- Articulate technical solutions and plans to stakeholders.
- Follow the latest technology and research and be able to customize them to our problem space.
- Guide toâ¯solutions using data insights.
- Collaborate with other machine learning and data science teams to build a great data science culture in Expedia Group
Benefits
- full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources
- medical/dental/vision
- paid time off
- Employee Assistance Program
- wellness & travel reimbursement
- travel discounts
- International Airlines Travel Agent (IATAN) membership
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Administrative and Support Services
